Triple
T1882579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Campanella |
E39885
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Campanella
Campanella is an Italian-origin surname most famously associated with Roy Campanella, the Hall of Fame catcher for the Brooklyn Dodgers.
|
E209844
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Campanella | Statement: [Roy Campanella, familyName, Campanella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campanella Context triple: [Roy Campanella, familyName, Campanella]
-
A.
Camillo
Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
B.
Maffeo
Maffeo is the given name of Pope Urban VIII, the 17th-century head of the Catholic Church known for his patronage of the arts and involvement in the Galileo affair.
-
C.
Le Rondinelle
Le Rondinelle is the traditional nickname of Italian football club Brescia Calcio, referring to the team and its players.
-
D.
Helyett–Potin
Helyett–Potin was a French professional cycling team best known for being one of the early trade teams of Tour de France champion Jacques Anquetil.
-
E.
Barberini
Barberini is an influential Italian noble family from Florence and Rome, best known for producing Pope Urban VIII and for its major patronage of Baroque art and architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Campanella Triple: [Roy Campanella, familyName, Campanella]
Generated description
Campanella is an Italian-origin surname most famously associated with Roy Campanella, the Hall of Fame catcher for the Brooklyn Dodgers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Campanella Target entity description: Campanella is an Italian-origin surname most famously associated with Roy Campanella, the Hall of Fame catcher for the Brooklyn Dodgers.
-
A.
Camillo
Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
B.
Maffeo
Maffeo is the given name of Pope Urban VIII, the 17th-century head of the Catholic Church known for his patronage of the arts and involvement in the Galileo affair.
-
C.
Le Rondinelle
Le Rondinelle is the traditional nickname of Italian football club Brescia Calcio, referring to the team and its players.
-
D.
Helyett–Potin
Helyett–Potin was a French professional cycling team best known for being one of the early trade teams of Tour de France champion Jacques Anquetil.
-
E.
Barberini
Barberini is an influential Italian noble family from Florence and Rome, best known for producing Pope Urban VIII and for its major patronage of Baroque art and architecture.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0fd4d6881908b8266bdae1517ce |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf5eabd8819089f267db92993033 |
completed | March 8, 2026, 8:43 p.m. |
| NEDg | Description generation | batch_69addfe604708190b85d6f7261197537 |
completed | March 8, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade0919d748190a4326d4abca2c9eb |
completed | March 8, 2026, 8:48 p.m. |
Created at: March 4, 2026, 7:34 p.m.